ITR: Computation and Communication in Sensor Webs

传统的设计方法将处理器节点、网络和传感器/执行器子系统视为明显独立的组件，并不适用于传感器网络领域。 这是由于传感器网络系统由数十万个小型的、复杂的设备组成，这些设备动态地参与或脱离数据的生成。 这些系统中的节点部署在一个ad-hoc的方式，与网络和传感器/执行器连接的noa-priori知识。 这些新的需求要求一种新的机器模型，更紧密地支持传感器网络独特的操作和行为要求。 本研究的重点是一个整体的系统为中心的方法，定义了这样一个新的集成通信/计算机器模型的传感器网络节点。新的机器模型表示的元指令集架构（伊萨）。 这个Meta伊萨定义了连续的操作，例如域选择、数据缩减和跨节点的ad hoc网络的广播，非常类似于CPU的伊萨定义CPU的基本操作。 Meta伊萨支持系统级的一致性和可靠性操作，以动态改变传感器的数量和位置，并支持多模式数据融合。 Meta ISA明确支持基于属性的命名，这使得能够在未知数量的异构传感器类型中动态创建唯一的知识域。 一个新的路由协议的综合计算/通信模型的一个组成部分进行了研究。 该协议是积极的发行和解码整个sensorweb的Meta指令，并已专门设计，以支持基于属性的命名和形成的知识领域在大型特设网站。该项目的更广泛影响包括在计算机系统工程方面发展一个教育重点领域。 课程包括嵌入式和实时系统，传感器网络，嵌入式系统的运行时软件和分布式系统。 该项目通过将研究议程和成果融入课堂，并集中开展协作活动，对研究生和本科生产生影响。 在这个项目中开发的软件工具和硬件平台将增强学生实验室的实验和项目。

Traditional design approaches that treat the processor node, network, andsensor/actuator subsystems as distinctly independent components do notapply well to the domain of sensor webs. This is a result of sensor websystems being comprised of hundreds of thousands of small, autonomousdevices that dynamically engage or disengage in the generation of data. Nodes within these systems are deployed in an ad-hoc fashion, with noa-priori knowledge of network and sensor/actuator connectivity. These new requirements call for a new machine model that more closelysupports the sensor webs unique operational and behavioral requirements. This research focuses on a holistic system-centric approach thatdefines such a new integrated communications/computation machine model forsensor web nodes. The new machine model is expressed in terms of a Metainstruction set architecture (ISA). This Meta ISA defines primitivesystem operations, such as domain selections, data reduction, andbroadcast across ad hoc networks of nodes, much like the ISA of a CPUdefining the CPU's primitive operations. The Meta ISA enables consistentand reliable system level operation for dynamically changing numbers andlocations of sensors, and supports multimode data fusion. The Meta ISAexplicitly supports attribute based naming, which enables the dynamiccreation of unique knowledge domains across unknown numbers ofheterogeneous sensor types. A new routing protocol has is studied as an integral part of the integrated computation/communication model. The protocol is active inissuing and decoding Meta instructions throughout the sensorweb and has been designed specifically to support attribute-based namingand formation of knowledge domains across large ad hoc webs. The broader impact of this project includes the development of an educational focus area in the engineering of computer-based systems. Courses include embedded and real-time systems, sensor webs, run time software for embedded systems, and distributed systems. The project is achieving impact for both graduate and undergraduate students by integrating the research agenda and results into the classroom, and focusing collaborative activities. Software tools and hardware platforms developed in this project will enhance student laboratories for experimentation and projects.